Paper
17 September 2013 Comparison of forward models and phase retrieval for image formation from intensity interferometer data
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Abstract
Many imaging techniques provide measurements proportional to Fourier magnitudes of an object, from which one attempts to form an image. One such technique is intensity interferometry which measures the squared Fourier modulus. Intensity interferometry is a synthetic aperture approach known to obtain high spatial resolution information, and is effectively insensitive to degradations from atmospheric turbulence. These benefits are offset by an intrinsically low signal-to-noise (SNR) ratio. Forward models have been theoretically shown to have best performance for many imaging approaches. On the other hand, phase retrieval is designed to reconstruct an image from Fourier-plane magnitudes and object-plane constraints. So it’s natural to ask, “How well does phase retrieval perform compared to forward models in cases of interest?” Image reconstructions are presented for both techniques in the presence of significant noise. Preliminary conclusions are presented for attainable resolution vs. DC SNR.
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David Gerwe, Peter Crabtree, Richard Holmes, and Jean Dolne "Comparison of forward models and phase retrieval for image formation from intensity interferometer data", Proc. SPIE 8877, Unconventional Imaging and Wavefront Sensing 2013, 88770F (17 September 2013); https://doi.org/10.1117/12.2026974
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Signal to noise ratio

Phase retrieval

Data modeling

Image restoration

Evolutionary algorithms

Reconstruction algorithms

Interferometers

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